{"id":"W2067787590","doi":"10.1177/135676670200800305","title":"Understanding the domestic market using cluster analysis: A case study of the marketing efforts of Travel Alberta","year":2002,"lang":"en","type":"article","venue":"Journal Of Vacation Marketing","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tourism; Marketing; Cluster (spacecraft); Market segmentation; Order (exchange); Linear discriminant analysis; Advertising; Business; Segmentation; Geography; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001845216,0.0004862167,0.0003089887,0.001365828,0.008098636,0.002870821,0.001478576,0.001370692,0.002470954],"category_scores_gemma":[0.002743353,0.0002904958,0.0002473517,0.00332508,0.002877953,0.00111555,0.00171018,0.00108589,0.0001736817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009200647,"about_ca_system_score_gemma":0.004839679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4798888,"about_ca_topic_score_gemma":0.7211486,"domain_scores_codex":[0.9988639,0.0006117382,0.00001842275,0.00006914705,0.0001839816,0.0002527587],"domain_scores_gemma":[0.9989163,0.0006591705,0.00007165245,0.000055949,0.0001539834,0.0001429733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002211857,0.0005781652,0.04878858,0.0002457934,0.00002993965,0.01058606,0.8452721,0.001862724,0.00219776,0.01528892,0.003665533,0.07126328],"study_design_scores_gemma":[0.00001023306,0.0001213972,0.04760481,0.00007923213,0.00002085975,0.0007920875,0.9266375,0.004000792,0.0007225394,0.001257006,0.01872018,0.00003343197],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854673,0.0002020183,0.000979856,0.0006500431,0.000006172588,0.00008321082,0.00003310728,0.00001097197,0.01256716],"genre_scores_gemma":[0.9921255,0.0004131323,0.002382753,0.00009583689,0.00000514012,0.00002994398,0.00005324623,0.00001217962,0.004882375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5201112,"threshold_uncertainty_score":0.9541911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047518244678451,"score_gpt":0.3612108492927503,"score_spread":0.2564590248249052,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}